Training in progress, step 500

config.json

@@ -0,0 +1,45 @@
+{
+  "_name_or_path": "finiteautomata/beto-emotion-analysis",
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "others",
+    "1": "joy",
+    "2": "sadness",
+    "3": "anger",
+    "4": "surprise",
+    "5": "disgust",
+    "6": "fear"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "anger": 3,
+    "disgust": 5,
+    "fear": 6,
+    "joy": 1,
+    "others": 0,
+    "sadness": 2,
+    "surprise": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31006
+}

pytorch_model.bin

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training_args.bin

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